The immediate customer perception of a vehicle is largely determined by driving dynamics characteristics. In order to improve the vehicle development process, an optimization of the iteration loops is desirable. The goal is to transfer vehicle dynamic measurements into expected driver's judgments. Despite many existing studies, a reliable correlation between objective measurements and the subjective assessment hasn’t been found yet.
The aim of this work is to develop a process that enables to generate reproducible and reliable assessments of vehicle variants out of standard driving manoevres which should be able to be performed by non-professional drivers. To achieve this, a modeling method is developed based on black box models which is capable of modelling virtually any mechanical system. The assessment itself is based on a Random Forest approach, which is able to optimize itself while in operation. «

The immediate customer perception of a vehicle is largely determined by driving dynamics characteristics. In order to improve the vehicle development process, an optimization of the iteration loops is desirable. The goal is to transfer vehicle dynamic measurements into expected driver's judgments. Despite many existing studies, a reliable correlation between objective measurements and the subjective assessment hasn’t been found yet.
The aim of this work is to develop a process that enables to... »